Error in adding a video object to collection

Hi I am doing a course on deeplearning.ai called ‘Building Multimodal Search and RAG’. I am running the below code and getting the following error

Code:

animals = client.collections.get("Animals")

source = os.listdir("./source/video/")

for name in source:
    print(f"Adding {name}")
    path = "./source/video/" + name    

    # insert videos one by one
    animals.data.insert({
        "name": name,
        "path": path,
        "video": toBase64(path),
        "mediaType": "video"
    })

Error:

{"action":"requests_total","api":"rest","class_name":"Animals","error":"update vector: connection to Google PaLM failed with status: 400 error: Parameter dimension is not supported with video input.","level":"error","msg":"unexpected error","query_type":"objects","time":"2024-07-23T12:41:55Z"}
---------------------------------------------------------------------------
UnexpectedStatusCodeError                 Traceback (most recent call last)
Cell In[8], line 10
      7 path = "./source/video/" + name    
      9 # insert videos one by one
---> 10 animals.data.insert({
     11     "name": name,
     12     "path": path,
     13     "video": toBase64(path),
     14     "mediaType": "video"
     15 })

File /usr/local/lib/python3.11/site-packages/weaviate/collections/data.py:391, in _DataCollection.insert(self, properties, references, uuid, vector)
    388 if vector is not None:
    389     weaviate_obj = self.__parse_vector(weaviate_obj, vector)
--> 391 return self._insert(weaviate_obj)

File /usr/local/lib/python3.11/site-packages/weaviate/collections/data.py:82, in _Data._insert(self, weaviate_obj)
     79 path = "/objects"
     81 params, weaviate_obj = self.__apply_context_to_params_and_object({}, weaviate_obj)
---> 82 self._connection.post(
     83     path=path,
     84     weaviate_object=weaviate_obj,
     85     params=params,
     86     error_msg="Object was not added",
     87     status_codes=_ExpectedStatusCodes(ok_in=200, error="insert object"),
     88 )
     89 return uuid_package.UUID(weaviate_obj["id"])

File /usr/local/lib/python3.11/site-packages/weaviate/connect/v4.py:480, in _Connection.post(self, path, weaviate_object, params, error_msg, status_codes)
    472 def post(
    473     self,
    474     path: str,
   (...)
    478     status_codes: Optional[_ExpectedStatusCodes] = None,
    479 ) -> Response:
--> 480     return self.__send(
    481         "POST",
    482         url=self.url + self._api_version_path + path,
    483         weaviate_object=weaviate_object,
    484         params=params,
    485         error_msg=error_msg,
    486         status_codes=status_codes,
    487     )

File /usr/local/lib/python3.11/site-packages/weaviate/connect/v4.py:431, in _Connection.__send(self, method, url, error_msg, status_codes, weaviate_object, params)
    429     res = self._client.send(req)
    430     if status_codes is not None and res.status_code not in status_codes.ok:
--> 431         raise UnexpectedStatusCodeError(error_msg, response=res)
    432     return cast(Response, res)
    433 except RuntimeError as e:

UnexpectedStatusCodeError: Object was not added! Unexpected status code: 500, with response body: {'error': [{'message': 'update vector: connection to Google PaLM failed with status: 400 error: Parameter dimension is not supported with video input.'}]}.```

Earlier I was adding image object to the same collection it was working fine, the code for collection creation and image object addition is

from weaviate.classes.config import Configure

# Just checking if you ever need to re run it
if(client.collections.exists("Animals")):
    client.collections.delete("Animals")
    
client.collections.create(
    name="Animals",
    vectorizer_config=Configure.Vectorizer.multi2vec_palm(
        image_fields=["image"],
        video_fields=["video"],
        project_id="semi-random-dev",
        location="us-central1",
        model_id="multimodalembedding@001",
        dimensions=1408,        
    )
)

{"level":"info","msg":"Created shard animals_wPRveZCpcK2K in 1.110407ms","time":"2024-07-24T23:59:00Z"}
{"action":"hnsw_vector_cache_prefill","count":1000,"index_id":"main","level":"info","limit":1000000000000,"msg":"prefilled vector cache","time":"2024-07-24T23:59:00Z","took":82186}
<weaviate.collections.collection.Collection at 0x7f5a22708d90>

It would be great if someone can help me out. Thanks!